This document summarizes Subex Network Analytics portfolio and capabilities. Subex has over 25 years of industry experience, $50M+ in annual revenue, and 900+ employees. Their portfolio includes network planning, capacity management, anomaly detection, security solutions, and business assurance services. Subex leverages machine learning techniques to help customers plan networks, increase profitability, secure networks, and assure revenues and assets. Their capacity management solution uses advanced analytics and machine learning models to provide intelligent network investment planning and optimization recommendations.

1. Subex Network Analytics
Portfolio Presentation

2. 25 Years
of Industry
Leadership
US$ 50+M
in Revenue
900+
Employees
16 global patents
8 granted,
8 pending approval
Denver | London | Dubai | Singapore | Bangalore

3. 3
300+ Installation in
90+ Countries
200+
Global customers

4. 4
Leverage AI-based
techniques to
make accurate
decisions in the 5G
planning process
Plan
Embrace new
revenue streams
and economic
models to increase
profitability
Grow
Protect networks,
customers,
partners and
revenues with
state-of-the-art
security solutions
Secure
Assure revenues,
margins, assets
and partnerships
in the complex
digital world
Assure
✓ Network
planning &
Capacity
Management
✓ Partner Mgmt.
✓ Anomaly
Detection
✓ EDL and Analytics
as Service
✓ Network Security
✓ IoT Security
✓ Digital Fraud
Management
✓ Business
Assurance
✓ Asset Assurance
Subex Portfolio

5. Subex Capacity Management
December 21 www.subex.com
Proprietary and Confidential
Leveraging Machine Learning to Manage Network Complexities

6. Industry Headwinds
Developed Growth Developing Growth
3%
2%
1%
0%
2018 2019 2020 2021 2022 2023 2024 2025
Mobile revenue (billion), YoY growth
Modest revenue growth
7.5
28
10
50
35
7.6 8.3
29 28 28
24
6.8
0.8
4.7
9.8
5.3
x4 2019 2025
Data growth
World North
America
Europe &
CIS
Asia
Pacific
MENA Greater
China
Latin
America
Sub-Saharan
Africa
0
20
40
60
80
100
2010 2011 2012 2013 2014 2015 2016 2017
Revenue per bit,
100 indexed (100=2010)
Cost per bit,
Ratio of revenue per bit
Rapid data growth
Pressure on margins
Increasing network complexity
Features
Services
Spectrum
RAT
Densification
KPIs

7. The Challenge
Balancing network investments, customer experience and profitability
Service Performance
Network Cost Service Revenue
maximise margin

8. Network Impact
Analysis
VIP Subscribers
Analytics
Services &
Applications Analytics
Network Investment
Planning
QoE vs QoS
Analysis
What-if
Simulations
Worst Cells
Analysis
Crowdsource
Customer Complaint Trace & Probe OSS EMS & NMS Service & Application
BSS
ML/DL
Models
Rules
Engine
HyperlogIQ*
*Advanced Analytics Engine
Data
Sources
Use
Cases
Subex Capacity Management
Machine Learning based Use Cases
Copyright © Subex 2021

9. Approach
Offering
Optimize Assess
Plan
Intelligent
Capacity
Management
Incremental Accuracy
Operational Efficiency
Cost Efficiency
Incremental ROI
Value
Proposition
Network Investment
Planning
Capacity
Analytics
Experience
Analytics
Value proposition: vis-à-vis traditional planning process
Copyright © Subex 2021
Subex Capacity Management

10. Subex Network Intelligence
Tier-1 Case Study
Problem Statement: What are the right investment decisions to handle 20% growth in HD video
services in next 6 months?
INPUT
Total 1583 LTE nodes, 4
bands
Video service usage
Network KPIs, Customer
Experience, e2e QoS and
Business Metrics
Subex Approach
25%
36%
21%
Sites for Capacity
Enhancement (Capex)
Sites for Optimization
Sites with e2e QoS Issues
Traditional Approach
40%
16%
0%
Sites for Capacity
Enhancement (Capex)
Sites for Optimization
i.e. no sites observed with
e2e QoS Issues
OUTPUT
One high business value site witnessed increase in
Revenue by 12.3%
Overall Efficiency increased
by 52%
Overall Accuracy
increased by 80%
Business
Value

11. Subex Capacity Management
ML based Performance Analytics
Copyright © Subex 2021

12. Subex Capacity Management
QoE Analytics
Copyright © Subex 2021

13. QoE
Metrics
RF Health
Metrics
Device
Analytics
Financial
Metrics
Supervised Learning & Domain Logic
1
Unsupervised Learning & Domain Logic
Cross Domain Data
Analytics
Geo based ROI driven
investment hotspot
Service Quality Analytics
Cells for Capacity
Expansion
2
Subex Capacity Management
ML based Traffic Analysis and Site Planning
Copyright © Subex 2021

14. Coverage Analysis for Capacity Planning
Copyright © Subex 2021

15. Subex Network Intelligence
Network
Investment
Planning
Business
• Revenue per
cell/site
• ARPU
• Churn
• VIP Subscribers
• Competition
Network
• Capacity KPIs trend
analysis
• Service-driven
KPIs/KQIs modeling
• QoE and QoS
mapping
Network Investment Planning
Customer Experience
• UE Throughput
• Stall time/length
• NPS
• MOS
15

16. 16
Subex Network Intelligence
Advanced
Automation
Domain
Driven Data
Science
Advanced Analytics Applied to Capacity Management
Smart KPI Framework
Intelligent Data Profilers
Hadoop
Micro Services
Cloud Native
Open Source Curated
Stack
HyperlogIQ
Advanced Analytics Engine
CapMan4C
Proprietary ML Forecasting Model
Multi-Vendor, Multi-Technology
High
Accuracy &
Efficiency
Intelligent
Data
Management

17. Deepal Jain | Deepal.jain@subex.com
www.subex.com
Thank You
Copyright © Subex 2021